ImportError: cannot import name 'libbleu'

[nusnlp]

ImportError: cannot import name 'libbleu'

[shamilcm]

The original code for the paper used this fork & commit for Fairseq shamilcm/fairseq-py@ceb2f12. As written in the README there, it uses PyTorch 0.2 compiled from source. The whole setup is very outdated. You could alternatively use PyTorch 0.4.1 installed normally with Fairseq 0.5, if you use scripts from fairseq0.5 branch of this repo (https://github.com/nusnlp/mlconvgec2018/tree/fairseq0.5)

[Ibuki1129]

Thanks a lot for your quick and kind reply. I just tried what you told me and the error didn't show up anymore!
But now another error came up.

When I ran below
./run.sh ./data/test/conll14st-test/conll14st-test.tok.src ./data/test/conll14st-test/output 0 ./training/models/mlconv/model1000

I got this error
++ source paths.sh
+++++ dirname paths.sh
++++ cd .
++++ pwd
+++ BASE_DIR=/mnt/data/okabe/mlconvgec2018
+++ DATA_DIR=/mnt/data/okabe/mlconvgec2018/data
+++ MODEL_DIR=/mnt/data/okabe/mlconvgec2018/models
+++ SCRIPTS_DIR=/mnt/data/okabe/mlconvgec2018/scripts
+++ SOFTWARE_DIR=/mnt/data/okabe/mlconvgec2018/software
++ '[' 4 -ge 4 ']'
++ input_file=./data/test/conll14st-test/conll14st-test.tok.src
++ output_dir=./data/test/conll14st-test/output
++ device=0
++ model_path=./training/models/mlconv/model1000
++ '[' 4 -eq 6 ']'
++ [[ -d ./training/models/mlconv/model1000 ]]
++ [[ -f ./training/models/mlconv/model1000 ]]
++ [[ ! -e ./training/models/mlconv/model1000 ]]
++ echo 'Model path not found: ./training/models/mlconv/model1000'
Model path not found: ./training/models/mlconv/model1000
++ FAIRSEQPY=/mnt/data/okabe/mlconvgec2018/software/fairseq-py
++ NBEST_RERANKER=/mnt/data/okabe/mlconvgec2018/software/nbest-reranker
++ beam=12
++ nbest=12
++ threads=12
++ mkdir -p ./data/test/conll14st-test/output
++ /mnt/data/okabe/mlconvgec2018/scripts/apply_bpe.py -c /mnt/data/okabe/mlconvgec2018/models/bpe_model/train.bpe.model
++ CUDA_VISIBLE_DEVICES=0
++ python /mnt/data/okabe/mlconvgec2018/software/fairseq-py/interactive.py --no-progress-bar --path --beam 12 --nbest 12 --interactive --workers 12 /mnt/data/okabe/mlconvgec2018/models/data_bin
usage: interactive.py [-h] [--no-progress-bar] [--log-interval N]
[--log-format {json,none,simple,tqdm}] [--seed N]
[--task TASK] [--skip-invalid-size-inputs-valid-test]
[--max-tokens N] [--max-sentences N]
[--gen-subset SPLIT] [--num-shards N] [--shard-id ID]
[--path FILE] [--remove-bpe [REMOVE_BPE]] [--cpu]
[--quiet] [--beam N] [--nbest N] [--max-len-a N]
[--max-len-b N] [--min-len N] [--no-early-stop]
[--unnormalized] [--no-beamable-mm] [--lenpen LENPEN]
[--unkpen UNKPEN] [--replace-unk [REPLACE_UNK]]
[--score-reference] [--prefix-size PS] [--sampling]
[--sampling-topk PS] [--sampling-temperature N]
[--buffer-size N]
interactive.py: error: argument --path: expected one argument

I found a similar issue someone had(you replied to him as well) so I used interactive.py instead of using generate.py. Sadly, I still have an error.

Thanks for your cooperate!

[shamilcm]

If you want to do single model evaluation, give the path to the model file, not the directory. In your earlier run, the path was `models/mlconv/model1.pt` Check if the file is in the correct path and pass this to run.sh

…

On Fri, 20 Sep 2019 at 2:36 PM, Ibuki1129 ***@***.***> wrote: Thanks a lot for your quick and kind reply. I just tried what you told me and the error didn't show up anymore! But now another error came up. When I ran below ./run.sh ./data/test/conll14st-test/conll14st-test.tok.src ./data/test/conll14st-test/output 0 ./training/models/mlconv/model1000 I got this error ++ source paths.sh +++++ dirname paths.sh ++++ cd . ++++ pwd +++ BASE_DIR=/mnt/data/okabe/mlconvgec2018 +++ DATA_DIR=/mnt/data/okabe/mlconvgec2018/data +++ MODEL_DIR=/mnt/data/okabe/mlconvgec2018/models +++ SCRIPTS_DIR=/mnt/data/okabe/mlconvgec2018/scripts +++ SOFTWARE_DIR=/mnt/data/okabe/mlconvgec2018/software ++ '[' 4 -ge 4 ']' ++ input_file=./data/test/conll14st-test/conll14st-test.tok.src ++ output_dir=./data/test/conll14st-test/output ++ device=0 ++ model_path=./training/models/mlconv/model1000 ++ '[' 4 -eq 6 ']' ++ [[ -d ./training/models/mlconv/model1000 ]] ++ [[ -f ./training/models/mlconv/model1000 ]] ++ [[ ! -e ./training/models/mlconv/model1000 ]] ++ echo 'Model path not found: ./training/models/mlconv/model1000' Model path not found: ./training/models/mlconv/model1000 ++ FAIRSEQPY=/mnt/data/okabe/mlconvgec2018/software/fairseq-py ++ NBEST_RERANKER=/mnt/data/okabe/mlconvgec2018/software/nbest-reranker ++ beam=12 ++ nbest=12 ++ threads=12 ++ mkdir -p ./data/test/conll14st-test/output ++ /mnt/data/okabe/mlconvgec2018/scripts/apply_bpe.py -c /mnt/data/okabe/mlconvgec2018/models/bpe_model/train.bpe.model ++ CUDA_VISIBLE_DEVICES=0 ++ python /mnt/data/okabe/mlconvgec2018/software/fairseq-py/interactive.py --no-progress-bar --path --beam 12 --nbest 12 --interactive --workers 12 /mnt/data/okabe/mlconvgec2018/models/data_bin usage: interactive.py [-h] [--no-progress-bar] [--log-interval N] [--log-format {json,none,simple,tqdm}] [--seed N] [--task TASK] [--skip-invalid-size-inputs-valid-test] [--max-tokens N] [--max-sentences N] [--gen-subset SPLIT] [--num-shards N] [--shard-id ID] [--path FILE] [--remove-bpe [REMOVE_BPE]] [--cpu] [--quiet] [--beam N] [--nbest N] [--max-len-a N] [--max-len-b N] [--min-len N] [--no-early-stop] [--unnormalized] [--no-beamable-mm] [--lenpen LENPEN] [--unkpen UNKPEN] [--replace-unk [REPLACE_UNK]] [--score-reference] [--prefix-size PS] [--sampling] [--sampling-topk PS] [--sampling-temperature N] [--buffer-size N] interactive.py: error: argument --path: expected one argument I found a similar issue someone had(you replied to him as well) so I used interactive.py instead of using generate.py. Sadly, I still have an error. Thanks for your cooperate! — You are receiving this because you commented. Reply to this email directly, view it on GitHub <#28?email_source=notifications&email_token=AAE46MHTAGDA3DXS6V7DRD3QKRVQJA5CNFSM4IYKJHIKYY3PNVWWK3TUL52HS4DFVREXG43VMVBW63LNMVXHJKTDN5WW2ZLOORPWSZGOD7FXMKI#issuecomment-533427753>, or mute the thread <https://github.com/notifications/unsubscribe-auth/AAE46MH3MIS4M2V6DJJVXZLQKRVQJANCNFSM4IYKJHIA> .

[Ibuki1129]

Thank you very much!